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RNA-Based Assay for Next-Generation Sequencing of Clinically Relevant Gene Fusions in Non-Small Cell Lung Cancer

SIMPLE SUMMARY: Gene fusions represent novel predictive biomarkers for advanced Non Small Cell Lung Cancer (NSCLC) patients. In this study, we developed and validated a narrow Next Generation Sequencing gene panel able to cover ALK, ROS1, RET and NTRK gene fusions and MET splicing events in advanced...

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Autores principales: De Luca, Caterina, Pepe, Francesco, Iaccarino, Antonino, Pisapia, Pasquale, Righi, Luisella, Listì, Angela, Greco, Lorenza, Gragnano, Gianluca, Campione, Severo, De Dominicis, Gianfranco, Pagni, Fabio, Sgariglia, Roberta, Nacchio, Mariantonia, Tufano, Rossella, Conticelli, Floriana, Vigliar, Elena, Bellevicine, Claudio, Cortinovis, Diego Luigi, Novello, Silvia, Molina-Vila, Miguel Angel, Rosell, Rafael, Troncone, Giancarlo, Malapelle, Umberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796105/
https://www.ncbi.nlm.nih.gov/pubmed/33406752
http://dx.doi.org/10.3390/cancers13010139
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author De Luca, Caterina
Pepe, Francesco
Iaccarino, Antonino
Pisapia, Pasquale
Righi, Luisella
Listì, Angela
Greco, Lorenza
Gragnano, Gianluca
Campione, Severo
De Dominicis, Gianfranco
Pagni, Fabio
Sgariglia, Roberta
Nacchio, Mariantonia
Tufano, Rossella
Conticelli, Floriana
Vigliar, Elena
Bellevicine, Claudio
Cortinovis, Diego Luigi
Novello, Silvia
Molina-Vila, Miguel Angel
Rosell, Rafael
Troncone, Giancarlo
Malapelle, Umberto
author_facet De Luca, Caterina
Pepe, Francesco
Iaccarino, Antonino
Pisapia, Pasquale
Righi, Luisella
Listì, Angela
Greco, Lorenza
Gragnano, Gianluca
Campione, Severo
De Dominicis, Gianfranco
Pagni, Fabio
Sgariglia, Roberta
Nacchio, Mariantonia
Tufano, Rossella
Conticelli, Floriana
Vigliar, Elena
Bellevicine, Claudio
Cortinovis, Diego Luigi
Novello, Silvia
Molina-Vila, Miguel Angel
Rosell, Rafael
Troncone, Giancarlo
Malapelle, Umberto
author_sort De Luca, Caterina
collection PubMed
description SIMPLE SUMMARY: Gene fusions represent novel predictive biomarkers for advanced Non Small Cell Lung Cancer (NSCLC) patients. In this study, we developed and validated a narrow Next Generation Sequencing gene panel able to cover ALK, ROS1, RET and NTRK gene fusions and MET splicing events in advanced-stage NSCLC patients. Overall, our RNA fusion panel was able to detect all fusions and a splicing event harbored in a RNA pool diluted up to 2 ng/µL. In addition, It also successfully analyzed 46 (95.8%) out of 48 routine samples previously characterized by conventional non - NGS technology, representing a robust tool for routine setting. ABSTRACT: Gene fusions represent novel predictive biomarkers for advanced non-small cell lung cancer (NSCLC). In this study, we validated a narrow NGS gene panel able to cover therapeutically-relevant gene fusions and splicing events in advanced-stage NSCLC patients. To this aim, we first assessed minimal complementary DNA (cDNA) input and the limit of detection (LoD) in different cell lines. Then, to evaluate the feasibility of applying our panel to routine clinical samples, we retrospectively selected archived lung adenocarcinoma histological and cytological (cell blocks) samples. Overall, our SiRe RNA fusion panel was able to detect all fusions and a splicing event harbored in a RNA pool diluted up to 2 ng/µL. It also successfully analyzed 46 (95.8%) out of 48 samples. Among these, 43 (93.5%) out of 46 samples reproduced the same results as those obtained with conventional techniques. Intriguingly, the three discordant results were confirmed by a CE-IVD automated real-time polymerase chain reaction (RT-PCR) analysis (Easy PGX platform, Diatech Pharmacogenetics, Jesi, Italy). Based on these findings, we conclude that our new SiRe RNA fusion panel is a valid and robust tool for the detection of clinically relevant gene fusions and splicing events in advanced NSCLC.
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spelling pubmed-77961052021-01-10 RNA-Based Assay for Next-Generation Sequencing of Clinically Relevant Gene Fusions in Non-Small Cell Lung Cancer De Luca, Caterina Pepe, Francesco Iaccarino, Antonino Pisapia, Pasquale Righi, Luisella Listì, Angela Greco, Lorenza Gragnano, Gianluca Campione, Severo De Dominicis, Gianfranco Pagni, Fabio Sgariglia, Roberta Nacchio, Mariantonia Tufano, Rossella Conticelli, Floriana Vigliar, Elena Bellevicine, Claudio Cortinovis, Diego Luigi Novello, Silvia Molina-Vila, Miguel Angel Rosell, Rafael Troncone, Giancarlo Malapelle, Umberto Cancers (Basel) Article SIMPLE SUMMARY: Gene fusions represent novel predictive biomarkers for advanced Non Small Cell Lung Cancer (NSCLC) patients. In this study, we developed and validated a narrow Next Generation Sequencing gene panel able to cover ALK, ROS1, RET and NTRK gene fusions and MET splicing events in advanced-stage NSCLC patients. Overall, our RNA fusion panel was able to detect all fusions and a splicing event harbored in a RNA pool diluted up to 2 ng/µL. In addition, It also successfully analyzed 46 (95.8%) out of 48 routine samples previously characterized by conventional non - NGS technology, representing a robust tool for routine setting. ABSTRACT: Gene fusions represent novel predictive biomarkers for advanced non-small cell lung cancer (NSCLC). In this study, we validated a narrow NGS gene panel able to cover therapeutically-relevant gene fusions and splicing events in advanced-stage NSCLC patients. To this aim, we first assessed minimal complementary DNA (cDNA) input and the limit of detection (LoD) in different cell lines. Then, to evaluate the feasibility of applying our panel to routine clinical samples, we retrospectively selected archived lung adenocarcinoma histological and cytological (cell blocks) samples. Overall, our SiRe RNA fusion panel was able to detect all fusions and a splicing event harbored in a RNA pool diluted up to 2 ng/µL. It also successfully analyzed 46 (95.8%) out of 48 samples. Among these, 43 (93.5%) out of 46 samples reproduced the same results as those obtained with conventional techniques. Intriguingly, the three discordant results were confirmed by a CE-IVD automated real-time polymerase chain reaction (RT-PCR) analysis (Easy PGX platform, Diatech Pharmacogenetics, Jesi, Italy). Based on these findings, we conclude that our new SiRe RNA fusion panel is a valid and robust tool for the detection of clinically relevant gene fusions and splicing events in advanced NSCLC. MDPI 2021-01-04 /pmc/articles/PMC7796105/ /pubmed/33406752 http://dx.doi.org/10.3390/cancers13010139 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
De Luca, Caterina
Pepe, Francesco
Iaccarino, Antonino
Pisapia, Pasquale
Righi, Luisella
Listì, Angela
Greco, Lorenza
Gragnano, Gianluca
Campione, Severo
De Dominicis, Gianfranco
Pagni, Fabio
Sgariglia, Roberta
Nacchio, Mariantonia
Tufano, Rossella
Conticelli, Floriana
Vigliar, Elena
Bellevicine, Claudio
Cortinovis, Diego Luigi
Novello, Silvia
Molina-Vila, Miguel Angel
Rosell, Rafael
Troncone, Giancarlo
Malapelle, Umberto
RNA-Based Assay for Next-Generation Sequencing of Clinically Relevant Gene Fusions in Non-Small Cell Lung Cancer
title RNA-Based Assay for Next-Generation Sequencing of Clinically Relevant Gene Fusions in Non-Small Cell Lung Cancer
title_full RNA-Based Assay for Next-Generation Sequencing of Clinically Relevant Gene Fusions in Non-Small Cell Lung Cancer
title_fullStr RNA-Based Assay for Next-Generation Sequencing of Clinically Relevant Gene Fusions in Non-Small Cell Lung Cancer
title_full_unstemmed RNA-Based Assay for Next-Generation Sequencing of Clinically Relevant Gene Fusions in Non-Small Cell Lung Cancer
title_short RNA-Based Assay for Next-Generation Sequencing of Clinically Relevant Gene Fusions in Non-Small Cell Lung Cancer
title_sort rna-based assay for next-generation sequencing of clinically relevant gene fusions in non-small cell lung cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796105/
https://www.ncbi.nlm.nih.gov/pubmed/33406752
http://dx.doi.org/10.3390/cancers13010139
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